Search results for "parametric"

showing 10 items of 980 documents

A Numerical Optimisation of a Stirling Engine

2011

International audience; A zero dimensional finite-time thermodynamic, three zones model of a generic Stirling engine has been developed and experimentally validated. Taking into account time-dependant heat transfers and losses, the model calculates the evolution of gas temperature, mass and pressure in each zone.

[SPI]Engineering Sciences [physics]modelexperimental validation[SPI] Engineering Sciences [physics]numerical optimisationStirling engineparametric study
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Extrapolation of the Species Accumulation Curve for Incomplete Species Samplings: A New Nonparametric Approach to Estimate the Degree of Sample Compl…

2015

9 pages; International audience; Incomplete species samplings are deemed to remain the common practice in those groups of animals, such as small or micro- invertebrates, with numerous species that often are more or less difficult to detect in the field. Thus, extrapolating the Species Accumulation Curve as far as possible beyond the actual sample size may thus serve as a useful (although imperfect) surrogate to the desired, but practically inaccessible, complete samplings. In this context, several kinds of theoretical or empirical models for the Species Accumulation Curve and also a lot of estimators of the asymptotic limit of the Curve (i.e. total species richness) have been proposed. The …

[STAT.AP]Statistics [stat]/Applications [stat.AP][ SDE.BE ] Environmental Sciences/Biodiversity and Ecologyspecies accumulation curveSpecies discovery curve[ STAT.AP ] Statistics [stat]/Applications [stat.AP]ExtrapolationNonparametric statisticsExtrapolationChao estimatorSampling (statistics)Sample (statistics)General Biochemistry Genetics and Molecular Biologystop samplingjackknifeStatisticsnon-parametricPoint estimationSpecies richness[SDE.BE]Environmental Sciences/Biodiversity and Ecologypoint estimationspecies richnessGeneral Agricultural and Biological SciencesJackknife resamplingsample completenessMathematicsAnnual Research & Review in Biology
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Goodness-of-fit tests for parametric excess hazard rate models with covariates

2017

In this paper we propose a general methodology for testing the null hypothesis that an excess hazard rate model, with or without covariates, belongs to a parametric family. Estimating the excess hazard rate function parametrically through the maximum likelihood method and non-parametrically (or semi-parametrically) we build a discrepancy process which is shown to be asymptotically Gaussian under the null hypothesis. Based on this result we are able to build some statistical tests in order to decide wether or not the null hypothesis is acceptable. We illustrate our results by the construction of chi-square tests which the behavior is studied through a Monte-Carlo study. Then the testing proc…

[STAT]Statistics [stat]Proportional excess hazards modelSemiparametric estimation[ STAT ] Statistics [stat]Maximum likelihood estimationNonparametric estimationcolon cancer dataCovariatesExcess hazard model[STAT] Statistics [stat]
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Long-Term Potentiation in the Neonatal Rat Barrel Cortex In Vivo

2012

Long-term potentiation (LTP) is important for the activity-dependent formation of early cortical circuits. In the neonatal rodent barrel cortex, LTP has been studied only in vitro . We combined voltage-sensitive dye imaging with extracellular multielectrode recordings to study whisker stimulation-induced LTP in the whisker-to-barrel cortex pathway of the neonatal rat barrel cortex in vivo . Single whisker stimulation at 2 Hz for 10 min induced an age-dependent expression of LTP in postnatal day (P) 0 to P14 rats, with the strongest expression of LTP at P3–P5. The magnitude of LTP was largest in the activated barrel-related column, smaller in the surrounding septal region, and no LTP could b…

animal structuresPatch-Clamp TechniquesLong-Term PotentiationBiophysicsStimulationBiologyIn Vitro TechniquesStatistics NonparametricIn vivoCortex (anatomy)Evoked Potentials SomatosensoryExtracellularmedicineAnimalsNeuronsSerotonin Plasma Membrane Transport ProteinsCortical circuitsNeonatal ratAfferent PathwaysGeneral Neurosciencemusculoskeletal neural and ocular physiologyAge FactorsLong-term potentiationSomatosensory CortexBarrel cortexElectric StimulationVoltage-Sensitive Dye ImagingRatsmedicine.anatomical_structurenervous systemAnimals NewbornVibrissaeBiophysicsBrief CommunicationsNeuroscience
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Prediction Model Selection and Spare Parts Ordering Policy for Efficient Support of Maintenance and Repair of Equipment

2010

The prediction model selection problem via variable subset selection is one of the most pervasive model selection problems in statistical applications. Often referred to as the problem of subset selection, it arises when one wants to model the relationship between a variable of interest and a subset of potential explanatory variables or predictors, but there is uncertainty about which subset to use. Several papers have dealt with various aspects of the problem but it appears that the typical regression user has not benefited appreciably. One reason for the lack of resolution of the problem is the fact that it has not been well defined. Indeed, it is apparent that there is not a single probl…

business.industryComputer scienceModel selectionFeature selectionResolution (logic)Machine learningcomputer.software_genreVariable (computer science)Residual sum of squaresSpare partArtificial intelligencebusinesscomputerSelection (genetic algorithm)Parametric statistics
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Precise and efficient parametric path analysis

2012

Hard real-time systems require tasks to finish in time. To guarantee the timeliness of such a system, static timing analyses derive upper bounds on the worst-case execution time (WCET) of tasks. There are two types of timing analyses: numeric and parametric. A numeric analysis derives a numeric timing bound and, to this end, assumes all information such as loop bounds to be given a priori. If these bounds are unknown during analysis time, a parametric analysis can compute a timing formula parametric in these variables. A performance bottleneck of timing analyses, numeric and especially parametric, is the so-called path analysis, which determines the path in the analyzed task with the longes…

business.industryComputer scienceNumerical analysisGraph theoryComputer Graphics and Computer-Aided DesignBottleneckTask (computing)SoftwarePath (graph theory)ddc:004businessPath analysis (computing)AlgorithmSoftwareParametric statistics
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3D Tools for CH Documentation

2020

The research focuses on the digital Computer Assisted Restoration procedures to guide the measure of integration of an artefact, innovating and implementing traditional research methods. Non-invasive 3D Digitalization techniques with high-performance devices allow the generation of applications for high-resolution visualization of three-dimensional environments with the possibility of navigating, analyzing and consulting virtual models in real time. The innovative application of 3D digital technologies has demonstrated that the integrated use of the new technology can be a useful tool to improve the entire process of collecting, storing and consulting information and data related to diagnos…

business.industryProcess (engineering)Computer scienceScientific visualizationData scienceField (computer science)VisualizationCultural heritageDocumentationTechnical drawingScientific visualization Annotation tag Parametric algorithms Shape analysis Cultural heritageSettore ICAR/17 - DisegnobusinessInterrogation
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Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological N…

2020

The framework of information dynamics allows the dissection of the information processed in a network of multiple interacting dynamical systems into meaningful elements of computation that quantify the information generated in a target system, stored in it, transferred to it from one or more source systems, and modified in a synergistic or redundant way. The concepts of information transfer and modification have been recently formulated in the context of linear parametric modeling of vector stochastic processes, linking them to the notion of Granger causality and providing efficient tools for their computation based on the state&ndash

conditional transfer entropyInformation transferlinear predictionDynamical systems theoryComputer scienceState–space modelsGeneral Physics and Astronomylcsh:AstrophysicsNetwork topologycomputer.software_genrenetwork physiology01 natural sciencesArticle03 medical and health sciences0302 clinical medicinepenalized regression techniquelcsh:QB460-4660103 physical sciencesEntropy (information theory)Statistics::Methodologylcsh:Science010306 general physicspartial information decompositionmultivariate time series analysisinformation dynamics; partial information decomposition; entropy; conditional transfer entropy; network physiology; multivariate time series analysis; State–space models; vector autoregressive model; penalized regression techniques; linear predictionState–space modellcsh:QC1-999multivariate time series analysiInformation dynamicData pointpenalized regression techniquesAutoregressive modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaParametric modelOrdinary least squaresvector autoregressive modellcsh:QData mininginformation dynamicsentropycomputerlcsh:Physics030217 neurology & neurosurgery
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Estimating regional differences in returns to education when schooling and location are determined endogenously

2010

While the growing supply of university skills is known to have agglomerated towards the large centers in Finland, there is no research knowledge available on the development of regional demands. This paper attempts to fill this gap by analyzing regional variation in the private-sector return to university education in Finland for the period 1970 - 2004. In the analysis, we focus on studying 1) whether there are differences in the return to university between different region types, and 2) to what extent can these differences - if they exist - be explained by differences in regional skill supply and unemployment. For the econometric analysis, we use a large register-based dataset constructed…

ddc:330J24C14returns to educationnonparametric estimationJ31sample selection modelsC31regional differences
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Architettura e second digital turn, l’evoluzione degli strumenti informatici e il progetto

2021

La condizione digitale che ha gradualmente ibridato le nostre esistenze, trasformando atomi in bit, si è oggi cementificata sulla nostra società, arricchendone la postmodernità e determinando una nuova liquidità acuitasi con l’avvento di internet. Un momento storico segnato da una nuova maturità del digitale, evidente nel nostro diverso rapporto con i dati, e nella diffusione di metodi di machine learning avanzato, che promettono una nuova capacità di comprensione della complessità contemporanea e nel frattempo contribuiscono alla propagazione dell’apparato tecnico sul mondo. Questi cambiamenti, tanto profondi da toccare la nostra cultura, stanno modificando il nostro modo di interpretare e…

digital architecture architectural design machine learning data cad digital tools parametric architecture communication design process project managementSettore ICAR/14 - Composizione Architettonica E UrbanaArchitettura architettura digitale machine learning dati Cad strumenti digitali architettura parametrica comunicazione processo progettuale gestione dei processi
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